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Bianca Montrosse-Moorhead; Daniela Schröter; Lyssa Wilson Becho – American Journal of Evaluation, 2024
Evaluation competency frameworks across the globe regard evaluation approaches as important to know and use in practice. Prior classifications have been developed to aid in understanding important differences among varying approaches. Nevertheless, there is an opportunity for a new classification of evaluation approaches, in particular one that is…
Descriptors: Evaluation Methods, Classification, Decision Making, Scholarship
Hii, Puong Koh; Goh, Chin Fei; Rasli, Amran; Tan, Owee Kowang – Knowledge Management & E-Learning, 2022
Multicriteria decision-making (MCDM) techniques have been widely adopted to evaluate the effectiveness of e-learning. However, the literature review has not kept pace with the rapid accumulation of knowledge in this field. This study systematically reviews the MCDM techniques applied in e-learning issues. In total, we reviewed 77 published studies…
Descriptors: Electronic Learning, Instructional Effectiveness, Decision Making, Evaluation
Juan D’Brot; W. Chris Brandt – Region 5 Comprehensive Center, 2024
Evaluation is a critical component of continuous improvement in education. Robust evaluations enable engaged parties to determine program and intervention impact on key outcomes, identify areas for improvement, and guide future actions. Additionally, as educational systems increasingly focus on data-driven decisionmaking, evaluation becomes even…
Descriptors: Evaluation, Educational Improvement, Program Evaluation, Educational Practices
Lee, Hea-Jin; Han, Chaereen – Journal of Education for Teaching: International Research and Pedagogy, 2023
The virtualised schools and universities of the COVID-19 pandemic became rely heavily on educational digital resources (EDRs), so that it has made the selection and use of high-quality EDRs even more critical for quality education. This qualitative case study aims to examine decision-making criteria used by preservice teachers (PTs) in selecting…
Descriptors: Educational Resources, Electronic Learning, Decision Making, Preservice Teachers
Wright, Daniel B.; Wolff, Sarah M. – Journal of Cognitive Education and Psychology, 2022
How much people believe that they understand information, so-called metacomprehension, is important for education. This ability to discriminate between well-learned versus not well-learned information is important to allow the student to decide which areas need further understanding. Feedback can affect metacomprehension and is important for…
Descriptors: Adults, Feedback (Response), Scores, Metacognition
Jones, Jason P.; McConnell, David A. – Journal of Geoscience Education, 2023
In the past couple of decades, the geoscience education community has made great strides toward investigating how to provide effective student learning experiences in the college setting. While experiences such as student-centered teaching strategies and course design elements are useful for the instructor, they may not make important elements of…
Descriptors: Geology, Introductory Courses, Science Instruction, Teaching Methods
McLoud, Rachael – ProQuest LLC, 2019
An increasing number of parents are opting-out their children from high-stakes. Accountability systems in education have used students' test scores to measure student learning, teacher effectiveness, and school district performance. Students who are opted-out of high-stakes tests are not being evaluated by the state tests, making their level of…
Descriptors: Evaluation, High Stakes Tests, Parent Attitudes, Decision Making
Ziren Jiang; Joseph C. Cappelleri; Margaret Gamalo; Yong Chen; Neal Thomas; Haitao Chu – Research Synthesis Methods, 2024
Population-adjusted indirect comparison (PAIC) is an increasingly used technique for estimating the comparative effectiveness of different treatments for the health technology assessments when head-to-head trials are unavailable. Three commonly used PAIC methods include matching-adjusted indirect comparison (MAIC), simulated treatment comparison…
Descriptors: Comparative Analysis, Decision Making, Health Services, Computer Oriented Programs
Michaela Willis; Kimberly Grieve; Gary Daynes – New Directions for Student Services, 2024
Doing more with less is a continual dynamic faced by leaders in higher education, particularly within small institutions where resources can be scarce, and professionals often are wearing multiple hats. The ability to prioritize programs and services in student affairs rises to the forefront of our work every day. As a result, leaders often need…
Descriptors: Student Personnel Services, Evaluation, School Culture, Small Colleges
Donzallaz, Michelle C.; Haaf, Julia M.; Stevenson, Claire E. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
When producing creative ideas (i.e., ideas that are original and useful) two main processes occur: ideation, where people brainstorm ideas, and evaluation, where they decide if the ideas are creative or not. While much is known about the ideation phase, the cognitive processes involved in creativity evaluation are less clear. In this article, we…
Descriptors: Creativity, Evaluation, Creative Thinking, Models
Xiaona Xia; Tianjiao Wang – Asia-Pacific Education Researcher, 2024
The artificial intelligence methods might be applied to see through the education problems, and make effective prediction and decision. The transformation from data to decision are inseparable from the learning analytics. In order to solve the dynamic multi-objective decision problems, a decision learning algorithm is designed to analyze the…
Descriptors: Learning, Behavior, Achievement, Learning Analytics
Melinda R. Snodgrass; Sarah N. Douglas; Virginia L. Walker; Yun-Ching Chung – Topics in Early Childhood Special Education, 2024
Despite advances in the field of augmentative and alternative communication (AAC), outcomes among children who require AAC remain discouraging. Practitioners may benefit from guidelines to aid decision-making in relation to supporting pre-linguistic communicators. We conducted an open-ended questionnaire of 30 AAC professionals from six…
Descriptors: Augmentative and Alternative Communication, Decision Making, Evaluation, Communication Skills
Kristin J. Buscher – ProQuest LLC, 2020
The use of student learning assessment is an important practice for institutions of higher education. External stakeholders expect colleges and universities to understand the extent to which students learn and use data to improve their learning. Student learning assessment includes identifying learning outcomes, developing assessment methods,…
Descriptors: Committees, Assessment Literacy, Evaluation, College Faculty
Jiang, Shiyan; Tang, Hengtao; Tatar, Cansu; Rosé, Carolyn P.; Chao, Jie – Learning, Media and Technology, 2023
It's critical to foster artificial intelligence (AI) literacy for high school students, the first generation to grow up surrounded by AI, to understand working mechanism of data-driven AI technologies and critically evaluate automated decisions from predictive models. While efforts have been made to engage youth in understanding AI through…
Descriptors: Artificial Intelligence, High School Students, Models, Classification
Oliver, Kathryn; Hopkins, Anna; Boaz, Annette; Guillot-Wright, Shannon; Cairney, Paul – Evidence & Policy: A Journal of Research, Debate and Practice, 2022
Background: To improve the use of evidence in policy and practice, many organisations and individuals seek to promote research-policy engagement activities, but little is known about what works. Aims and objectives: We sought (a) to identify existing research-policy engagement activities, and (b) evidence on impacts of these activities on research…
Descriptors: Research, Policy, Evidence, Decision Making